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Record W4401024403 · doi:10.35817/publicuho.v7i2.482

HUBUNGAN PENDAPATAN DAN POLA KONSUMSI MASYARAKAT PERDESAAN DAN PERKOTAAN DI SULAWESI UTARA

2024· article· en· W4401024403 on OpenAlexaff
Brigita Kezia Maria Kumaat, Sherly Gladys Jocom, Theodora M. Kathiandagho, Tommy Ferdy Lolowang, Agnes Estephina Loho

Bibliographic record

VenueJournal Publicuho · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPolitical scienceBusiness

Abstract

fetched live from OpenAlex

The study aims to determine the relationship between income and consumption patterns of rural and urban communities in North Sulawesi. Data analysis in this research was carried out descriptively. The descriptive research method is a research method that provides a general description of the object being studied, such as looking at the movement of each research variable, one of which is by describing the movement of each research variable in the form of a table or graph. The consumption patterns of rural and urban communities show diversity. On average, between 2018-2022, rural communities in North Sulawesi, except for rural areas in Bitung City, allocate more expenditure to non-food consumption than to food consumption. Furthermore, of the eleven districts and four cities in North Sulawesi, only urban communities in Minahasa Regency, Talaud Islands, Manado City, Tomohon City and Kotamobagu City have a greater percentage of expenditure on non-food consumption than food consumption. This phenomenon indicates that apart from income, there are other factors that influence people's consumption patterns in both rural and urban areas in North Sulawesi.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.227
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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